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Compare models

Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

  1. Gemini 3.5 TranscribeGoogleRemove
  2. GPT-5.6 TerraOpenAIRemove
  3. Perceptron Mk1.5PerceptronRemove
  4. GPT-6 SolOpenAIRemove

4 is the maximum. Remove one to add another.

gemini-3.5-transcribe vs gpt-5.6-terra vs perceptron-mk1.5 vs gpt-6-sol
AttributeGemini 3.5 Transcribegemini-3.5-transcribeGPT-5.6 Terragpt-5.6-terraPerceptron Mk1.5perceptron-mk1.5GPT-6 Solgpt-6-sol
Pricing
Input— Not priced per input token$2.00 / 1M$0.15 / 1M$2.00 / 1M
Output— Not priced per output token$12.00 / 1M$1.50 / 1M$10.00 / 1M
Cache Write (5m)Not applicable$2.00 / 1M$0.15 / 1M$2.00 / 1M
Cache Write (1h)Not applicable$2.00 / 1M$0.15 / 1M$2.00 / 1M
Cache ReadNot applicable$2.00 / 1M$0.15 / 1M$2.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context98.3K1M36.9K1.1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesYesNoYes
Function CallingYesYesNoYes
JSON ModeNoYesNoYes
StreamingNoYesYesYes
Catalogue
ProviderGoogleOpenAIPerceptronOpenAI
Categoryvoicechatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-09-25—2026-09-25—
Description
SummaryGoogle Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.GPT-5.6 Terra is the balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier. It is designed for everyday coding, reasoning, and agentic workflows, delivering strong performance while balancing capability and cost. Offering near-flagship quality at approximately half the cost of Sol, GPT-5.6 Terra is well suited for production applications that require reliable reasoning, software development, and scalable agent execution.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.GPT-6 Sol is OpenAI's cost-efficient high-end model in the GPT-6 series, positioned between the flagship GPT-6 Astra and the fast GPT-6 Luna tier. It is designed for professional knowledge work, agentic coding, business workflow automation, and computer-use tasks, with particular strength in long-horizon software engineering across real-world codebases. GPT-6 Sol approaches Astra-level factual reliability at a significantly lower cost, while sharing its clear and concise communication style. This balance of capability, reliability, and efficiency makes it well suited for production agents, complex engineering workflows, and scalable professional applications